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HTML attribute

Known as: HTML attributes, Class attribute (HTML), Class attribute 
An HTML attribute is a modifier of an HTML element type. An attribute either modifies the default functionality of an element type or provides… 
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AngularJSCascading Style SheetsHTML elementHTML5

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HTML

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation
We present a domain adaptation based generative framework for zero-shot learning. Our framework addresses the problem of domain… 
2018
2018
UNCERTAINTY REDUCTION IN BIG DATA CATALOGUE FOR INFORMATION PRODUCT QUALITY EVALUATION
  • 2018
  • Corpus ID: 56307657
Big data information technology is the set of methods and means of processing different types of structured and unstructured… 
2017
2017
Use of the Decision Tree Technique to Estimate Sugarcane Productivity Under Edaphoclimatic Conditions
AbstractA number of biometric evaluations are performed during harvest for measuring the growth and development of the sugarcane… 
Review
2013
Review
2013
Performance of different clustering methods and classification algorithms for prediction of warning level in aircraft accidents: An empirical study
This paper focuses an overview of the main clustering techniques and classification algorithms for evaluation of risk and safety… 
2012
2012
ModelicaML value bindings for automated model composition
Virtual Verification of Designs against Requirements (vVDR) is a method for model-based system design verification. This paper… 
2011
2011
The use of fuzzy decision trees for coffee rust warning in Brazilian crops
This paper proposes the use of fuzzy decision trees for coffee rust warning, the most economically important coffee disease in… 
2011
2011
HepatitisC Classification using Data Mining Techniques
In this paper, we scrutinize factors that dole out significantly to augmenting the risk of hepatitis-C virus. The dataset has… 
2009
2009
Feature Subset Selection Based on Binary Particle Swarm Optimization and Overlap Information Entropy
In Pattern Recognition System, many irrelevant or redundant features will not only reduce the performance of classifier but also… 
2008
2008
Combined Association Rule Mining
This paper proposes an algorithm to discover novel association rules, combined association rules. Compared with conventional… 
2007
2007
Data Mining Patterns: New Methods and Applications
Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research… 
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